Update app.py
Browse files
app.py
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@@ -3,6 +3,8 @@ from fastapi import FastAPI, HTTPException
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from pydantic import BaseModel
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from llama_cpp import Llama
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from contextlib import asynccontextmanager
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# =========================
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# MODEL CONFIG
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@@ -10,6 +12,12 @@ from contextlib import asynccontextmanager
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MODEL_REPO = "bartowski/Phi-3.1-mini-4k-instruct-GGUF"
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MODEL_FILE = "Phi-3.1-mini-4k-instruct-IQ2_M.gguf"
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N_THREADS = int(os.getenv("N_THREADS", "8"))
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N_CTX = int(os.getenv("N_CTX", "2048"))
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N_BATCH = int(os.getenv("N_BATCH", "256"))
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@@ -23,12 +31,13 @@ llm = None
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async def lifespan(app: FastAPI):
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global llm
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llm = Llama(
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-
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-
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-
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-
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)
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yield
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app = FastAPI(title="AI Humanizer", lifespan=lifespan)
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from pydantic import BaseModel
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from llama_cpp import Llama
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from contextlib import asynccontextmanager
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from huggingface_hub import hf_hub_download
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# =========================
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# MODEL CONFIG
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MODEL_REPO = "bartowski/Phi-3.1-mini-4k-instruct-GGUF"
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MODEL_FILE = "Phi-3.1-mini-4k-instruct-IQ2_M.gguf"
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MODEL_PATH = hf_hub_download(
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repo_id=MODEL_REPO,
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filename=MODEL_FILE,
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)
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N_THREADS = int(os.getenv("N_THREADS", "8"))
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N_CTX = int(os.getenv("N_CTX", "2048"))
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N_BATCH = int(os.getenv("N_BATCH", "256"))
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async def lifespan(app: FastAPI):
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global llm
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llm = Llama(
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model_path=MODEL_PATH,
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n_ctx=N_CTX,
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n_threads=N_THREADS,
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n_batch=N_BATCH,
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verbose=False,
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)
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yield
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app = FastAPI(title="AI Humanizer", lifespan=lifespan)
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